What do you get with Genuisee data science services?


Unlock business value from data. We guide you on each stage of AI adoption: from data strategy discovery to ultimate deployment. 

Data strategy and consulting

Suppose you have a lot of data but it’s not used efficiently to impact your outcomes. How to get actionable insights from it, and what kind of data do you need to implement AI? We help structure data and identify high-impact use cases through AI Ideation Workshops or Proof of Concept (PoC) development.

Machine Learning and AI solutions

Developing custom AI solutions is a complex process that requires the proper setup of training, testing, and integration environments for models. We offer a full range of services, from developing, testing, and integrating AI solutions into the final product to ensuring system scaling and post-implementation support.

Generative AI and LLM solutions

Fundamental models based on Generative AI can solve many problems, even without prior training on specific data samples. We will help you understand the variety of these models, choose the best solution to protect your data, ensure cost-effectiveness, and achieve the desired results.

Tool and tech stack integration

Build or integrate? It is not always optimal to create your own model. Sometimes using a model as a service is much more efficient, ensuring high performance and lower costs. We will help you choose and integrate the best solutions into your final product.

Our data science services we offer


Data analytics

We analyze data, identify key dependencies, and predict outcomes, including cost predictions. Using AutoML and custom ML algorithms, we can quickly create a prototype and integrate it into your solution, allowing you to validate your idea as quickly as possible.

Business Intelligence

Analyzing data is often only part of the task. It’s equally important to get valuable business insights from this data and make it easy to explore with dynamic queries. We build BI systems that allow you to ask questions in natural language and quickly get the business insights you need.

Machine Learning

We will help you analyze existing models on the market, assess the feasibility and ROI of creating your own model architecture. We set up a system for automatic testing and retraining of the neural network after receiving new data.

Generative AI

Claude or ChatGPT? We will help you understand the specifics of large language models (LLMs), determine the best fit for your tasks, and improve their capabilities using techniques like Retrieval-Augmented Generation (RAG) and other modern approaches. We will take care of integrating the models into your solution, ensuring efficient resource use and data protection.

MLOps

An accurate model is not always fast, and a fast model is not always accurate. Our MLOps services will help you find the right balance between accuracy and efficiency. We can help you scale your solution and reduce infrastructure costs by thoroughly analysing your current costs and identifying potential issues.

AI strategy

Don’t know where to start or doubt whether to implement AI in your project? We offer AI Ideation as an effective first step that involves creating initial prototypes, testing them, identifying shortcomings, and further iterating to achieve the best result.

Benefits you get with our data science services


Explore how data science will meet your business needs:

Actionable insights

Gain actionable insights using natural language interaction without the need for specialized AI knowledge. Make informed decisions and optimize costs by up to 30%.

Faster time-to-value

Implement AI and data analytics algorithms to reduce document processing time from 8 hours to 30 minutes. You will achieve faster results with real business value.

AI-driven innovation

Companies that implement our solutions reduce the time-to-market for new products by up to 35% and increase the ROI of digital initiatives by up to 10% within the first 6 months.

Operational efficiency

Our AI solutions allow you to reduce manual labor costs by up to 40%, decrease the number of process errors by up to 70%, and improve operational efficiency by 25-45%, depending on your industry.

Our data science delivery process


AI ideation

AI ideation is a first essential step for any project. It allows you to identify the potential benefits of using AI, assess the feasibility, and estimate the time and financial costs of its implementation.

Data exploration

We will help you understand how to improve  quality of the data currently collected in your system and ensure that you have the necessary foundation to build an effective AI model.

PoC testing

After the PoC phase, the next step is full-scale AI integration, addressing identified AI errors. We improve the AI model through model retraining or fine-tuning based on gathered data, develop real-time error detection and logging monitoring tools, and create fallback procedures to handle AI inaccuracies effectively in production phase.

Support and improvement

After AI integration, we provide ongoing support and improvement activities to ensure the solution remains effective and reliable.

What we deliver


AI model with API

A fully deployed, scalable AI model accessible through a user-friendly API, ensuring seamless integration into your workflows.

In-depth performance report

We test several solutions with model performance analysis, error categorization, and suggested improvements. Based on the study, we will select the best solution for you. You will receive all research results in a separate, detailed report.

Monitoring dashboard

A dashboard where you can view key metrics, such as the number of requests processed, the number of data for which predictions were not obtained, and the reasons for these cases.

Fallback and error handling procedures

This is clear and understandable procedure for dealing with malfunctions or other problems with the model, including instructions on contacting the support team.

Support documentation

Documentation with recommendations on how to retrain the model, improve its performance, and replace the model based on new or existing data.

Tech stack


Core ML Frameworks

PyTorch
PyTorch
TensorFlow
TensorFlow
sci-kit-learn
sci-kit-learn
XGBoost
XGBoost
LightGBM
LightGBM

NLP & Generative AI

HuggingFace
HuggingFace
LangChain
LangChain
LlamaIndex
LlamaIndex
spaCy
spaCy
NLTK
NLTK

Cloud Platforms & AutoML

Amazon Bedrock
Amazon Bedrock
SegaMaker Autopilot
SegaMaker Autopilot
Vertex AI AutoML
Vertex AI AutoML
Azure Machine Learning
Azure Machine Learning

Data science use cases across industries


Fintech

  • Fraud Detection and Prevention
  • Credit Scoring
  • Customer Segmentation
  • AI Agent

Edtech

  • Personalized Learning Paths
  • Automated Grading
  • Chatbots and Virtual Tutor
  • Content Recommendation Engines

Retail

  • Demand Forecasting
  • Supply Chain Optimization
  • Image Recognition for Visual Search
  • Market Basket Analysis

Real estate

  • Document Intelligence
  • Customer Lead Scoring
  • Image-Based Property Analysis
  • Market Trend Analysis

Our success in numbers

Genuisee’s versatile experience, gained over more than 8 years, has enabled us to form a team with a proven track record.


Geniusee 195 1 2

20+

Countries

180+

Projects completed

80

NPS score

250+

Industry-specific experts

Recognition, certifications, and partnership


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Certified AWS Partner delivering secure, scalable cloud-native solutions.

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ISO-compliant processes ensuring quality, security, and reliability.

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Trusted integration partner for financial data connectivity and open banking.

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Team of ISTQB-certified QA engineers for world-class software testing.

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Consistently rated ★5.0 by clients for reliability and delivery excellence.

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Accredited partnership supporting advanced testing and continuous QA automation.